The Changing of Passenger Flow Volume and Distribution of Sharing when High Speed Railway Speed Reducing

2015 ◽  
Vol 744-746 ◽  
pp. 2180-2184
Author(s):  
Ying Wang ◽  
Bao Ming Han ◽  
Bin Zheng
Keyword(s):  
Public Transport ◽  
Logit Model ◽  
High Speed ◽  
Influence Factors ◽  
High Speed Railway ◽  
Public Transport System ◽  
Passenger Flow ◽  
Transportation Corridor ◽  
Before And After ◽  
Railway Passenger

Reduction of high speed railway speed has an influence on not only high speed railway passenger flow but also passenger flow of the public transport system within the scope of relevant transportation corridor. Calculate method of percentage of passenger transport with a variety of public transport mode using Logit model is presented. And analysis of Wuhan Guangzhou high speed railway passenger flow changes before and after reducing speed is introduced. Modify Logit model making it can be applied to the passenger flow partaking rates to meet the changing trend of passenger flow. Bring in new ideas of using Logit to calculate the distribution rate of passenger flow and provide reliable and effective solutions. To provide reference for a more scientific way of express passenger flow partaking rates for development of passenger flow law and analyzing of China's current influence factors.

Nighttime Monitoring and Assessment Technology of Subgrade Settlement for Chengdu-Guanxian Line during Operation Period

2013 ◽  
Vol 742 ◽  
pp. 13-18
Author(s):  
Qian Su ◽  
Wei Jiang ◽  
Kai Jiang ◽  
Yu Jie Li ◽  
Ling Ling Yang
Keyword(s):  
High Speed ◽  
Influence Factors ◽  
Residual Deformation ◽  
High Speed Train ◽  
High Speed Railway ◽  
Ballastless Track ◽  
Operation Period ◽  
Assessment Technology ◽  
Railway Passenger ◽  
Maintenance Plan

The criterion for residual deformation of Substructure of ballasteless track on railway passenger dedicated line is extremely strict in order to satisfy the safety and comfort requirements of the high-speed train during operation period, urgent need to strengthen the ballastless track lines settlement deformation observation, prediction and assessment technology. Based on Chengdu-Guanxian line, this paper puts forward observation programs of subgrade settlement combined with the characteristics of Subgrade Settlement through the analysis of the influence factors of subgrade settlement deformation and key consideration about the factors of nighttime observation precision. It shows that the monitoring and assessment technology could meet the requirements through the analysis of field data, it can be guidance of railway management departments to make maintenance plan. Some advices provide reference for the monitoring and assessment of high-speed railway subgrade settlement during operation period.

Short-Time Fluctuation Characteristic and Combined Forecasting of High-Speed Railway Passenger Flow Based on EEMD

2013 ◽  
Vol 409-410 ◽  
pp. 1071-1074
Author(s):  
Xiu Shan Jiang ◽  
Rui Feng Zhang ◽  
Liang Pan
Keyword(s):  
Support Vector Machine ◽  
Empirical Mode Decomposition ◽  
High Speed ◽  
Ensemble Empirical Mode Decomposition ◽  
Support Vector ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Mode Decomposition ◽  
Railway Passenger ◽  
Short Term Forecasting

Take Wuhan-Guangzhou high-speed railway for example. By adopting the empirical mode decomposition (EMD) attempt to analyze mode from the perspective of volatility of high speed railway passenger flow fluctuation signal. Constructed the ensemble empirical mode decomposition-gray support vector machine (EEMD-GSVM) short-term forecasting model which fuse the gray generation and support vector machine with the ensemble empirical mode decomposition (EEMD). Finally, by the accuracy of predicted results, explains the EEMD-GSVM model has the better adaptability.

High-Speed Railway PFV Prediction Model Research Under Regional Economic Conditions

2012 ◽  
Vol 569 ◽  
pp. 246-250 ◽  
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Prediction Model ◽  
High Speed ◽  
Economic Conditions ◽  
High Speed Railway ◽  
Regional Economic ◽  
Railway Stations ◽  
Passenger Flow ◽  
Model Research ◽  
Railway Passenger ◽  
Railway Operation

Under the regional economic conditions, a passenger flow prediction model is proposed in the paper. It can predict high-speed railway passenger flow volume under the conditions of multi-mode, and guide the reasonable operation of high-speed railway effectively. According to the data analysis of Beijing and Tianjin railway stations, we can know that the reasonable ticket price plays an important role in high-speed railway operation benefit under regional economic conditions.

High-Speed Railway Passenger Node Classification Method and Train Stops Scheme

2014 ◽  
Vol 505-506 ◽  
pp. 632-636 ◽  
Author(s):  
Peng Fei Zhou ◽  
Bao Ming Han ◽  
Qi Zhang
Keyword(s):  
High Speed ◽  
Passenger Transport ◽  
High Speed Rail ◽  
Plan Evaluation ◽  
High Speed Railway ◽  
Passenger Flow ◽  
Railway Passenger Transport ◽  
Train Operation ◽  
Railway Passenger

The development of high-speed railway has been very fast, while there are still existing many problems to be further studied and discussed, especially the design of high-speed railway Train stops program. The research of classification of high-speed passenger railway nodes has a vital significance for forecast of high-speed railway passenger flow, passenger train operation plan, evaluation and optimization and so on, especially for highspeed railway stopping schedule .This paper analyzes the significance and methods of high-speed passenger railway nodes classification, and designs high-speed rail train line stops program based on the classification. Finally, analyzing the case on the basis of Beijing-Guangzhou high-speed railway, a train stops program will be made bases on the classification of Beijing-Guangzhou high-speed railway passenger transport nodes to verify the feasibility of this study.

Situating High-Speed Railway Stations within Local Urban Contexts: Passenger Satisfaction with Intermodal Integration at the Hong Kong HSR Station

2020 ◽  
Vol 46 (3) ◽  
pp. 362-378
Author(s):  
Bo Wang ◽  
Becky P.Y. Loo ◽  
Lu Li
Keyword(s):  
Hong Kong ◽  
Public Transport ◽  
High Speed ◽  
High Speed Railway ◽  
Railway Stations ◽  
Public Transport System ◽  
Travel Experience ◽  
Passenger Satisfaction ◽  
Walking Environment ◽  
Ticket Purchase

With more high-speed railway (HSR) being built worldwide, its be er integration into the 'urban fabric' is imperative. Focusing on the travel experience, this paper presents an analysis of the intermodal integration of HSR with the local public transport system at the newly opened HSR station in Hong Kong. A participatory survey was conducted with arrival passengers making intermodal transfers to local destinations using the metro, bus, and taxis. Participants were asked to recall and rate their travel experience from the exit of HSR station to the public transport stops. This is the first study that integrates both objective and subjective measurements of regional–local intermodal integration holistically from a passenger perspective. In the survey, respondents generally reported a positive experience. However, there were signi ficant diff erences for diff erent interchange modes. At a more theoretical level, ten service a ributes including both instrumental and aff ective dimensions were found to have signi ficant in fluence on the intermodal interchange experience. Furthermore, the importance-satisfaction analysis suggests that three instrumental factors (ticket purchase, time coordination, interchange signage) are in most urgent need of improvement, while good service quality of four aff ective factors (walking environment, cleanliness, congestion-free waiting area, and luggage delivery) should be maintained and strengthened.

scholarly journals Competition between High-Speed Rail and Airline Based on Game Theory

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Xiushan Jiang ◽  
Xi Zhang ◽  
Wanwan Lu ◽  
Lei Zhang ◽  
Xiqun Chen
Keyword(s):  
Modified Gravity ◽  
Logit Model ◽  
High Speed ◽  
Level Of Service ◽  
High Speed Rail ◽  
Passenger Flow ◽  
Gray Prediction ◽  
Transportation Corridor ◽  
Transportation Modes

The coexistence of high-speed rail (HSR) and airline in a busy transportation corridor generates competition between the two transportation modes. An unfair competition between HSR and airline not only reduces both revenues, but also triggers a series of social problems. Based on generalized costs, this paper proposes combining an improved gray prediction model, modified gravity model, and Logit model to predict the average passenger flow, induced passenger flow, and transfer passenger flow. According to the predicted results, we establish a game model that considers different stages of the HSR development. For demonstrative purposes, the approach is applied to an empirical study in China, that is, the competition between Beijing-Shenyang HSR and airline. Malignant fare war will make both parties lose out. Either mode that improves service quality will generate more revenue. If both parties improve the level of service, all incomes of the HSR, airline, and community increase. Results show the HSR contribution is greater than the airline in the case study.

scholarly journals An Affinity Propagation-Based Clustering Method for the Temporal Dynamics Management of High-Speed Railway Passenger Demand

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wenxian Wang ◽  
Tie Shi ◽  
Yongxiang Zhang ◽  
Qian Zhu
Keyword(s):  
High Speed ◽  
Temporal Dynamics ◽  
Operation Time ◽  
Affinity Propagation ◽  
High Speed Railway ◽  
Railway Line ◽  
Passenger Flow ◽  
Passenger Demand ◽  
Train Operation ◽  
Railway Passenger

The number of passengers in a high-speed railway line normally varies significantly by the time periods, such as the peak and nonpeak hours. A reasonable classification of railway operation time intervals is essential for an adaptive adjustment of the train schedule. However, the passenger flow intervals are usually classified manually based on experience, which is subjective and inaccurate. Based on the time samples of actual passenger demand data for 365 days, this paper proposes an affinity propagation (AP) algorithm to automatically classify the passenger flow intervals. Specifically, the AP algorithm first merges time samples into different categories together with the passenger transmit volume of the stations, which are used as descriptive variables. Furthermore, clustering validity indexes, such as Calinski–Harabasz, Hartigan, and In-Group Proportion, are employed to examine the clustering results, and reasonable passenger flow intervals are finally obtained. A case study of the Zhengzhou-Xi’an high-speed railway indicates that our proposed AP algorithm has the best performance. Moreover, based on the passenger flow interval classification results obtained using the AP algorithm, the train operation plan fits the passenger demand better. As a result, the indexes of passenger demand satisfaction rate, average train occupancy rate, and passenger flow rate are improved by 7.6%, 16.7%, and 14.1%, respectively, in 2014. In 2015, the above three indicators are improved by 5.7%, 18.4%, and 14.4%, respectively.

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